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2026 Cloud Predictions - Part 3

Industry experts offer predictions on how Cloud will evolve and impact business in 2026. Part 3 covers Multi, Hybrid and Private Cloud.

MULTI-CLOUD

Multi-Cloud Will Become the Default Operating Model: A big part due to recent disruptions, multi-cloud is going to become the default operating model in 2026. As we see an acceleration in multi-cloud strategies, we will move beyond vendor-specific Infrastructure-as-Code (IAC) and more toward tools like Terraform to build and deploy across multiple clouds.
John Waller
Cloud & Security Practice Lead, UltraViolet Cyber

Multi-Cloud and Hybrid Will Become a Strategic Architecture, Not a Choice: Most enterprise clients are already using more than one hyperscaler, driven by a deliberate strategy to avoid vendor lock-in and negotiate discounted rates on bulk service mapping. In 2026, multi-cloud and hybrid environments will become architectural necessities. Organizations will strategically place critical components in the public cloud for scalability and high availability, use private cloud for data security and cheaper hardware for AI initiatives, and rely on specialized clouds for AI and compliance workloads. This diversification will define cloud strategy through the next year.
Rohan Gupta
VP, Cloud, Security & DevOps, R Systems

OPEN-SOURCE MULTI-CLOUD

2026 cloud strategy will be defined by freedom, not footprint. Enterprises are realizing that single-provider dependency has become the biggest threat to agility and negotiating power. The next wave of growth will come from open source–driven, multi-cloud architectures that preserve flexibility while still harnessing hyperscaler scale.
Anil Inamdar
Global Head of Data, NetApp Instaclustr

MULTI-CLOUD DRIVES AIOPS

Multi-cloud strategies will strengthen demand for third-party AIOps platforms, as enterprises avoid hyperscaler vendor lock-in and seek end-to-end integration across hybrid environments.
Ritu Dubey
Market Head, Digitate

HYBRID ECOSYSTEMS

In 2026, we'll watch the big three cloud providers lose their monopoly on enterprise compute. Companies will architect hybrid ecosystems that stretch across hyperscalers, private infrastructure, and the edge — driven not by cost-cutting, but by control. The days of one-cloud dependency are ending; agility will come from being everywhere at once.
Dr. Hema Raghavan
Head of Engineering and Co-Founder, Kumo

THE GREAT UNCLOUDING

The great "unclouding": After years of expanding multi-cloud architectures, organizations will start simplifying. We'll see a push to consolidate workloads into fewer, better-managed platforms to regain cost control and performance.
Ha Hoang
CIO, Commvault

PRIVATE CLOUD

Private clouds will grow in the next year or so: From my conversations with IT leaders, I'm inclined to believe private cloud will grow in the next year or so. That said, the definition of "private cloud" is not clear and varies by audience. For some private cloud means a well-defined set of capabilities wholly hosted on a hyperscaler's infrastructure. For others it means "cloud like" capabilities hosted in a private or colo hosted data center. And yet, for others, it means a hybrid approach across multiple public and private locations including the neoclouds. Whatever the definition is — the point is that most companies mean it to be a largely bespoke implementation that meets their organizations' needs. That will, for sure, continue if not grow.
Juan Orlandini
Chief Technology Officer, North America, Insight Enterprises

As we look ahead to 2026, we'll see even more investment in data centers as hyperscalers continue to lead the way. AI is driving massive demand for processing power and energy, and the cost of cloud isn't going down anytime soon. As that continues to grow, we'll also see cooling and power costs rise right alongside it. At the same time, customers will take a more balanced approach, keeping their most critical, revenue-driven workloads in private cloud environments and use hyperscalers for projects that are less central to the business. 
Ryan Huffine
VP of Services, SHI

As macroeconomic trends drive a focus on cost cutting, this could mark the beginning of a cloud repatriation, as CIOs and CFOs finally calculate the true cost of achieving enterprise-grade availability on public cloud, where anything beyond basic SLAs requires redundant regions and architectures that can cost many multiples of initial estimates. After watching hyperscaler outages take down critical infrastructure repeatedly, enterprises will realize that modern private cloud solutions now deliver superior uptime at predictable costs, with many offering 99.99%+ SLAs as standard versus the 99.95% you get from hyperscalers. The migrations back to private cloud will accelerate as companies discover they can achieve better availability, predictable monthly costs, and actual accountability from their providers, without playing Russian roulette every time a hyperscaler has a bad day.
Nick Zeigler
VP, Digital Innovation, All Covered

CLOUD REPATRIATION

After years of aggressive cloud migration, companies have increasingly realized that public cloud isn't the best fit for every workload. While public cloud still is the right choice for some, rising costs and performance frustrations are driving leaders to evaluate which applications are truly fit for the cloud. In 2026, cloud repatriation will become a strategic focus for organizations rethinking their cloud approach. Automated, static workloads are likely to move back on-premises or into private clouds to cut increasing costs. IT leaders who ask the right questions and prioritize a "think first" over "act first" mindset will make the most of repatriation.
Jesse Stockall
Chief Architect, Flexera

The cloud is going to see serious competition from cloud exits to the data center, both because of cost control and data sovereignty. People are realizing that the flexibility of the cloud is now available on-premises, and the risk of not controlling your own destiny (both in terms of cost and outages) is non-trivial.
Steve Francis
CEO, Sidero Labs

PLATFORM ENGINEERING

Platform Engineering Will Become the Backbone of Multi-Cloud and DevOps Success: As cloud and DevOps mature into central components of business operations, the industry will see a surge in demand for multi-cloud engineers, platform engineers, AIOps and intelligent automation engineers, DevSecOps and cloud security engineers, site reliability engineers, and FinOps analysts. Soon, organizations will be operating across multi-cloud, hybrid, and edge-native environments that are too complex for manual or siloed DevOps teams. The most impactful investment will be hybrid-cloud capability building supported by platform engineering, which will hide infrastructure complexity while enforcing security, compliance, and cost controls automatically.
Rohan Gupta
VP, Cloud, Security & DevOps, R Systems

Check back next week for DataOps predictions

Hot Topics

The Latest

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

2026 Cloud Predictions - Part 3

Industry experts offer predictions on how Cloud will evolve and impact business in 2026. Part 3 covers Multi, Hybrid and Private Cloud.

MULTI-CLOUD

Multi-Cloud Will Become the Default Operating Model: A big part due to recent disruptions, multi-cloud is going to become the default operating model in 2026. As we see an acceleration in multi-cloud strategies, we will move beyond vendor-specific Infrastructure-as-Code (IAC) and more toward tools like Terraform to build and deploy across multiple clouds.
John Waller
Cloud & Security Practice Lead, UltraViolet Cyber

Multi-Cloud and Hybrid Will Become a Strategic Architecture, Not a Choice: Most enterprise clients are already using more than one hyperscaler, driven by a deliberate strategy to avoid vendor lock-in and negotiate discounted rates on bulk service mapping. In 2026, multi-cloud and hybrid environments will become architectural necessities. Organizations will strategically place critical components in the public cloud for scalability and high availability, use private cloud for data security and cheaper hardware for AI initiatives, and rely on specialized clouds for AI and compliance workloads. This diversification will define cloud strategy through the next year.
Rohan Gupta
VP, Cloud, Security & DevOps, R Systems

OPEN-SOURCE MULTI-CLOUD

2026 cloud strategy will be defined by freedom, not footprint. Enterprises are realizing that single-provider dependency has become the biggest threat to agility and negotiating power. The next wave of growth will come from open source–driven, multi-cloud architectures that preserve flexibility while still harnessing hyperscaler scale.
Anil Inamdar
Global Head of Data, NetApp Instaclustr

MULTI-CLOUD DRIVES AIOPS

Multi-cloud strategies will strengthen demand for third-party AIOps platforms, as enterprises avoid hyperscaler vendor lock-in and seek end-to-end integration across hybrid environments.
Ritu Dubey
Market Head, Digitate

HYBRID ECOSYSTEMS

In 2026, we'll watch the big three cloud providers lose their monopoly on enterprise compute. Companies will architect hybrid ecosystems that stretch across hyperscalers, private infrastructure, and the edge — driven not by cost-cutting, but by control. The days of one-cloud dependency are ending; agility will come from being everywhere at once.
Dr. Hema Raghavan
Head of Engineering and Co-Founder, Kumo

THE GREAT UNCLOUDING

The great "unclouding": After years of expanding multi-cloud architectures, organizations will start simplifying. We'll see a push to consolidate workloads into fewer, better-managed platforms to regain cost control and performance.
Ha Hoang
CIO, Commvault

PRIVATE CLOUD

Private clouds will grow in the next year or so: From my conversations with IT leaders, I'm inclined to believe private cloud will grow in the next year or so. That said, the definition of "private cloud" is not clear and varies by audience. For some private cloud means a well-defined set of capabilities wholly hosted on a hyperscaler's infrastructure. For others it means "cloud like" capabilities hosted in a private or colo hosted data center. And yet, for others, it means a hybrid approach across multiple public and private locations including the neoclouds. Whatever the definition is — the point is that most companies mean it to be a largely bespoke implementation that meets their organizations' needs. That will, for sure, continue if not grow.
Juan Orlandini
Chief Technology Officer, North America, Insight Enterprises

As we look ahead to 2026, we'll see even more investment in data centers as hyperscalers continue to lead the way. AI is driving massive demand for processing power and energy, and the cost of cloud isn't going down anytime soon. As that continues to grow, we'll also see cooling and power costs rise right alongside it. At the same time, customers will take a more balanced approach, keeping their most critical, revenue-driven workloads in private cloud environments and use hyperscalers for projects that are less central to the business. 
Ryan Huffine
VP of Services, SHI

As macroeconomic trends drive a focus on cost cutting, this could mark the beginning of a cloud repatriation, as CIOs and CFOs finally calculate the true cost of achieving enterprise-grade availability on public cloud, where anything beyond basic SLAs requires redundant regions and architectures that can cost many multiples of initial estimates. After watching hyperscaler outages take down critical infrastructure repeatedly, enterprises will realize that modern private cloud solutions now deliver superior uptime at predictable costs, with many offering 99.99%+ SLAs as standard versus the 99.95% you get from hyperscalers. The migrations back to private cloud will accelerate as companies discover they can achieve better availability, predictable monthly costs, and actual accountability from their providers, without playing Russian roulette every time a hyperscaler has a bad day.
Nick Zeigler
VP, Digital Innovation, All Covered

CLOUD REPATRIATION

After years of aggressive cloud migration, companies have increasingly realized that public cloud isn't the best fit for every workload. While public cloud still is the right choice for some, rising costs and performance frustrations are driving leaders to evaluate which applications are truly fit for the cloud. In 2026, cloud repatriation will become a strategic focus for organizations rethinking their cloud approach. Automated, static workloads are likely to move back on-premises or into private clouds to cut increasing costs. IT leaders who ask the right questions and prioritize a "think first" over "act first" mindset will make the most of repatriation.
Jesse Stockall
Chief Architect, Flexera

The cloud is going to see serious competition from cloud exits to the data center, both because of cost control and data sovereignty. People are realizing that the flexibility of the cloud is now available on-premises, and the risk of not controlling your own destiny (both in terms of cost and outages) is non-trivial.
Steve Francis
CEO, Sidero Labs

PLATFORM ENGINEERING

Platform Engineering Will Become the Backbone of Multi-Cloud and DevOps Success: As cloud and DevOps mature into central components of business operations, the industry will see a surge in demand for multi-cloud engineers, platform engineers, AIOps and intelligent automation engineers, DevSecOps and cloud security engineers, site reliability engineers, and FinOps analysts. Soon, organizations will be operating across multi-cloud, hybrid, and edge-native environments that are too complex for manual or siloed DevOps teams. The most impactful investment will be hybrid-cloud capability building supported by platform engineering, which will hide infrastructure complexity while enforcing security, compliance, and cost controls automatically.
Rohan Gupta
VP, Cloud, Security & DevOps, R Systems

Check back next week for DataOps predictions

Hot Topics

The Latest

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...